Pandas Profiling Report

Dataset statistics

Number of variables	30
Number of observations	449001
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	115160
Duplicate rows (%)	25.6%
Total size in memory	102.8 MiB
Average record size in memory	240.0 B

Variable types

Numeric	19
Categorical	11

Warnings

Dataset has 115160 (25.6%) duplicate rows	Duplicates
`first_browser` has a high cardinality: 51 distinct values	High cardinality
`days_from_first_active_until_booking` is highly correlated with `days_from_account_created_until_first_booking` and 1 other fields	High correlation
`days_from_account_created_until_first_booking` is highly correlated with `days_from_first_active_until_booking` and 1 other fields	High correlation
`year_first_active` is highly correlated with `year_first_created_account`	High correlation
`month_first_active` is highly correlated with `weekodyear_first_active` and 2 other fields	High correlation
`day_first_active` is highly correlated with `day_first_created_account`	High correlation
`dayofweek_first_active` is highly correlated with `dayofweek_first_created_account`	High correlation
`weekodyear_first_active` is highly correlated with `month_first_active` and 2 other fields	High correlation
`year_first_booking` is highly correlated with `days_from_first_active_until_booking` and 1 other fields	High correlation
`month_first_booking` is highly correlated with `weekofyear_first_booking`	High correlation
`weekofyear_first_booking` is highly correlated with `month_first_booking`	High correlation
`year_first_created_account` is highly correlated with `year_first_active`	High correlation
`month_first_created_account` is highly correlated with `month_first_active` and 2 other fields	High correlation
`day_first_created_account` is highly correlated with `day_first_active`	High correlation
`dayofweek_first_created_account` is highly correlated with `dayofweek_first_active`	High correlation
`weekofyear_first_created_account` is highly correlated with `month_first_active` and 2 other fields	High correlation
`days_from_first_active_until_account_created` is highly skewed (γ1 = 80.18747491)	Skewed
`signup_flow` has 355794 (79.2%) zeros	Zeros
`days_from_first_active_until_booking` has 88175 (19.6%) zeros	Zeros
`days_from_first_active_until_account_created` has 448462 (99.9%) zeros	Zeros
`days_from_account_created_until_first_booking` has 88151 (19.6%) zeros	Zeros
`dayofweek_first_active` has 71084 (15.8%) zeros	Zeros
`dayofweek_first_booking` has 45816 (10.2%) zeros	Zeros
`dayofweek_first_created_account` has 71066 (15.8%) zeros	Zeros

Reproduction

Analysis started	2021-05-17 23:07:18.988939
Analysis finished	2021-05-17 23:09:44.654825
Duration	2 minutes and 25.67 seconds
Software version	pandas-profiling v2.11.0
Download configuration	config.yaml

age
Real number (ℝ_≥0)

Distinct	99
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	40.72022557
Minimum	16
Maximum	115
Zeros	0
Zeros (%)	0.0%
Memory size	3.4 MiB

Quantile statistics

Minimum	16
5-th percentile	24
Q1	31
median	41
Q3	49
95-th percentile	57
Maximum	115
Range	99
Interquartile range (IQR)	18

Descriptive statistics

Standard deviation	12.35364801
Coefficient of variation (CV)	0.3033786734
Kurtosis	4.422704702
Mean	40.72022557
Median Absolute Deviation (MAD)	8
Skewness	1.164537793
Sum	18283422
Variance	152.6126192
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
49	130218	29.0%
30	16216	3.6%
31	16200	3.6%
32	15506	3.5%
29	15422	3.4%
28	15049	3.4%
33	14172	3.2%
27	13731	3.1%
34	12982	2.9%
35	12246	2.7%
Other values (89)	187259	41.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
16	26	< 0.1%
17	70	< 0.1%
18	1156	0.3%
19	2211	0.5%
20	1499	0.3%

Value	Count	Frequency (%)
115	12	< 0.1%
113	4	< 0.1%
112	1	< 0.1%
111	2	< 0.1%
110	186	< 0.1%

signup_flow
Real number (ℝ_≥0)

ZEROS

Distinct	26
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2.286484885
Minimum	0
Maximum	25
Zeros	355794
Zeros (%)	79.2%
Memory size	3.4 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	24
Maximum	25
Range	25
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	6.351544869
Coefficient of variation (CV)	2.777864358
Kurtosis	7.028920144
Mean	2.286484885
Median Absolute Deviation (MAD)	0
Skewness	2.911430805
Sum	1026634
Variance	40.34212222
Monotocity	Not monotonic

Histogram with fixed size bins (bins=26)

Value	Count	Frequency (%)
0	355794	79.2%
25	17066	3.8%
1	16152	3.6%
2	16124	3.6%
3	10413	2.3%
12	9977	2.2%
24	7419	1.7%
23	4033	0.9%
5	1201	0.3%
6	1153	0.3%
Other values (16)	9669	2.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	355794	79.2%
1	16152	3.6%
2	16124	3.6%
3	10413	2.3%
4	1063	0.2%

Value	Count	Frequency (%)
25	17066	3.8%
24	7419	1.7%
23	4033	0.9%
22	435	0.1%
21	641	0.1%

days_from_first_active_until_booking
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	2035
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1577.190367
Minimum	0
Maximum	7393
Zeros	88175
Zeros (%)	19.6%
Memory size	3.4 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	13
Q3	5486
95-th percentile	6051
Maximum	7393
Range	7393
Interquartile range (IQR)	5485

Descriptive statistics

Standard deviation	2549.174301
Coefficient of variation (CV)	1.616275597
Kurtosis	-0.848772277
Mean	1577.190367
Median Absolute Deviation (MAD)	13
Skewness	1.062757598
Sum	708160052
Variance	6498289.619
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	88175	19.6%
1	49673	11.1%
2	21960	4.9%
3	13794	3.1%
4	9924	2.2%
5	8037	1.8%
6	6794	1.5%
7	5829	1.3%
8	5011	1.1%
9	3950	0.9%
Other values (2025)	235854	52.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	88175	19.6%
1	49673	11.1%
2	21960	4.9%
3	13794	3.1%
4	9924	2.2%

Value	Count	Frequency (%)
7393	1	< 0.1%
7328	1	< 0.1%
7101	2	< 0.1%
7099	1	< 0.1%
7095	2	< 0.1%

days_from_first_active_until_account_created
Real number (ℝ_≥0)

SKEWED
ZEROS

Distinct	263
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.1768214325
Minimum	0
Maximum	1456
Zeros	448462
Zeros (%)	99.9%
Memory size	3.4 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	1456
Range	1456
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	9.408851282
Coefficient of variation (CV)	53.21103415
Kurtosis	7972.913828
Mean	0.1768214325
Median Absolute Deviation (MAD)	0
Skewness	80.18747491
Sum	79393
Variance	88.52648244
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	448462	99.9%
1	53	< 0.1%
2	38	< 0.1%
4	25	< 0.1%
3	25	< 0.1%
5	7	< 0.1%
20	6	< 0.1%
18	6	< 0.1%
9	6	< 0.1%
11	5	< 0.1%
Other values (253)	368	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	448462	99.9%
1	53	< 0.1%
2	38	< 0.1%
3	25	< 0.1%
4	25	< 0.1%

Value	Count	Frequency (%)
1456	1	< 0.1%
1369	1	< 0.1%
1361	1	< 0.1%
1148	1	< 0.1%
1036	1	< 0.1%

days_from_account_created_until_first_booking
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct	2021
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1577.013265
Minimum	-349
Maximum	7101
Zeros	88151
Zeros (%)	19.6%
Memory size	3.4 MiB

Quantile statistics

Minimum	-349
5-th percentile	0
Q1	1
median	13
Q3	5486
95-th percentile	6051
Maximum	7101
Range	7450
Interquartile range (IQR)	5485

Descriptive statistics

Standard deviation	2549.161492
Coefficient of variation (CV)	1.616448985
Kurtosis	-0.848810614
Mean	1577.013265
Median Absolute Deviation (MAD)	13
Skewness	1.0627727
Sum	708080533
Variance	6498224.312
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	88151	19.6%
1	49648	11.1%
2	21951	4.9%
3	13790	3.1%
4	9916	2.2%
5	8041	1.8%
6	6796	1.5%
7	5829	1.3%
8	5012	1.1%
9	3949	0.9%
Other values (2011)	235918	52.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-349	1	< 0.1%
-347	1	< 0.1%
-338	1	< 0.1%
-308	1	< 0.1%
-298	1	< 0.1%

Value	Count	Frequency (%)
7101	2	< 0.1%
7099	1	< 0.1%
7095	2	< 0.1%
7094	1	< 0.1%
7092	1	< 0.1%

year_first_active
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2012.83694
Minimum	2009
Maximum	2014
Zeros	0
Zeros (%)	0.0%
Memory size	3.4 MiB

Quantile statistics

Minimum	2009
5-th percentile	2011
Q1	2012
median	2013
Q3	2014
95-th percentile	2014
Maximum	2014
Range	5
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	0.9311603293
Coefficient of variation (CV)	0.0004626109104
Kurtosis	-0.2291199538
Mean	2012.83694
Median Absolute Deviation (MAD)	1
Skewness	-0.5056026116
Sum	903765799
Variance	0.8670595589
Monotocity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
2013	180498	40.2%
2014	118230	26.3%
2012	113711	25.3%
2011	31960	7.1%
2010	4595	1.0%
2009	7	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2009	7	< 0.1%
2010	4595	1.0%
2011	31960	7.1%
2012	113711	25.3%
2013	180498	40.2%

Value	Count	Frequency (%)
2014	118230	26.3%
2013	180498	40.2%
2012	113711	25.3%
2011	31960	7.1%
2010	4595	1.0%

month_first_active
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	5.839652918
Minimum	1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Memory size	3.4 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	5
Q3	8
95-th percentile	11
Maximum	12
Range	11
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	3.103485953
Coefficient of variation (CV)	0.5314504126
Kurtosis	-0.871141908
Mean	5.839652918
Median Absolute Deviation (MAD)	2
Skewness	0.2899287923
Sum	2622010
Variance	9.631625059
Monotocity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
5	60739	13.5%
6	58231	13.0%
4	49437	11.0%
3	43363	9.7%
2	36558	8.1%
1	35604	7.9%
8	33108	7.4%
9	32381	7.2%
7	27894	6.2%
10	26716	6.0%
Other values (2)	44970	10.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	35604	7.9%
2	36558	8.1%
3	43363	9.7%
4	49437	11.0%
5	60739	13.5%

Value	Count	Frequency (%)
12	18991	4.2%
11	25979	5.8%
10	26716	6.0%
9	32381	7.2%
8	33108	7.4%

day_first_active
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	31
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	15.65494954
Minimum	1
Maximum	31
Zeros	0
Zeros (%)	0.0%
Memory size	3.4 MiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	8
median	16
Q3	23
95-th percentile	29
Maximum	31
Range	30
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	8.55294633
Coefficient of variation (CV)	0.546341354
Kurtosis	-1.185728864
Mean	15.65494954
Median Absolute Deviation (MAD)	7
Skewness	-0.00295224836
Sum	7029088
Variance	73.15289092
Monotocity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
24	16169	3.6%
16	15824	3.5%
23	15656	3.5%
13	15541	3.5%
27	15523	3.5%
5	15463	3.4%
22	15441	3.4%
26	15409	3.4%
6	15384	3.4%
17	15355	3.4%
Other values (21)	293236	65.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	11461	2.6%
2	13467	3.0%
3	15129	3.4%
4	14900	3.3%
5	15463	3.4%

Value	Count	Frequency (%)
31	4073	0.9%
30	11030	2.5%
29	13077	2.9%
28	15065	3.4%
27	15523	3.5%

dayofweek_first_active
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2.540446458
Minimum	0
Maximum	6
Zeros	71084
Zeros (%)	15.8%
Memory size	3.4 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	2
Q3	4
95-th percentile	6
Maximum	6
Range	6
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.814653128
Coefficient of variation (CV)	0.7143048113
Kurtosis	-0.993171433
Mean	2.540446458
Median Absolute Deviation (MAD)	1
Skewness	0.2567032416
Sum	1140663
Variance	3.292965974
Monotocity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
1	81453	18.1%
2	80758	18.0%
3	73622	16.4%
0	71084	15.8%
4	63332	14.1%
5	49012	10.9%
6	29740	6.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	71084	15.8%
1	81453	18.1%
2	80758	18.0%
3	73622	16.4%
4	63332	14.1%

Value	Count	Frequency (%)
6	29740	6.6%
5	49012	10.9%
4	63332	14.1%
3	73622	16.4%
2	80758	18.0%

weekodyear_first_active
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	53
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	23.9726259
Minimum	1
Maximum	53
Zeros	0
Zeros (%)	0.0%
Memory size	3.4 MiB

Quantile statistics

Minimum	1
5-th percentile	4
Q1	14
median	22
Q3	34
95-th percentile	48
Maximum	53
Range	52
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	13.45303375
Coefficient of variation (CV)	0.5611831514
Kurtosis	-0.8735427894
Mean	23.9726259
Median Absolute Deviation (MAD)	10
Skewness	0.2870609696
Sum	10763733
Variance	180.984117
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
21	14399	3.2%
23	14270	3.2%
26	14180	3.2%
20	13986	3.1%
25	13935	3.1%
19	13881	3.1%
24	13617	3.0%
22	12674	2.8%
18	12404	2.8%
17	11884	2.6%
Other values (43)	313771	69.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	5444	1.2%
2	6281	1.4%
3	8284	1.8%
4	8328	1.9%
5	7808	1.7%

Value	Count	Frequency (%)
53	3	< 0.1%
52	3514	0.8%
51	4530	1.0%
50	5233	1.2%
49	6059	1.3%

year_first_booking
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2017.150717
Minimum	2010
Maximum	2029
Zeros	0
Zeros (%)	0.0%
Memory size	3.4 MiB

Quantile statistics

Minimum	2010
5-th percentile	2011
Q1	2013
median	2013
Q3	2029
95-th percentile	2029
Maximum	2029
Range	19
Interquartile range (IQR)	16

Descriptive statistics

Standard deviation	7.194494414
Coefficient of variation (CV)	0.003566661804
Kurtosis	-0.9122288994
Mean	2017.150717
Median Absolute Deviation (MAD)	1
Skewness	1.010640064
Sum	905702689
Variance	51.76074987
Monotocity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
2013	131311	29.2%
2029	119810	26.7%
2012	85214	19.0%
2014	82630	18.4%
2011	23488	5.2%
2010	3364	0.7%
2015	3184	0.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2010	3364	0.7%
2011	23488	5.2%
2012	85214	19.0%
2013	131311	29.2%
2014	82630	18.4%

Value	Count	Frequency (%)
2029	119810	26.7%
2015	3184	0.7%
2014	82630	18.4%
2013	131311	29.2%
2012	85214	19.0%

month_first_booking
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	5.915367672
Minimum	1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Memory size	3.4 MiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	4
median	6
Q3	7
95-th percentile	11
Maximum	12
Range	11
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.546033192
Coefficient of variation (CV)	0.4304099649
Kurtosis	-0.04900599078
Mean	5.915367672
Median Absolute Deviation (MAD)	1
Skewness	0.2382102987
Sum	2656006
Variance	6.482285015
Monotocity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
6	163800	36.5%
5	46015	10.2%
4	34774	7.7%
3	30768	6.9%
8	27246	6.1%
2	26223	5.8%
7	25649	5.7%
9	24583	5.5%
1	21860	4.9%
10	20211	4.5%
Other values (2)	27872	6.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	21860	4.9%
2	26223	5.8%
3	30768	6.9%
4	34774	7.7%
5	46015	10.2%

Value	Count	Frequency (%)
12	9965	2.2%
11	17907	4.0%
10	20211	4.5%
9	24583	5.5%
8	27246	6.1%

day_first_booking
Real number (ℝ_≥0)

Distinct	31
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	15.19065882
Minimum	1
Maximum	31
Zeros	0
Zeros (%)	0.0%
Memory size	3.4 MiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	11
median	15
Q3	20
95-th percentile	28
Maximum	31
Range	30
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	7.196865264
Coefficient of variation (CV)	0.4737691334
Kurtosis	-0.4890551126
Mean	15.19065882
Median Absolute Deviation (MAD)	5
Skewness	0.06491052359
Sum	6820621
Variance	51.79486962
Monotocity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
15	131787	29.4%
10	11949	2.7%
17	11739	2.6%
5	11703	2.6%
16	11658	2.6%
9	11647	2.6%
14	11626	2.6%
11	11553	2.6%
7	11416	2.5%
20	11408	2.5%
Other values (21)	212515	47.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	9022	2.0%
2	10238	2.3%
3	11056	2.5%
4	11342	2.5%
5	11703	2.6%

Value	Count	Frequency (%)
31	1969	0.4%
30	6331	1.4%
29	8371	1.9%
28	9784	2.2%
27	10386	2.3%

dayofweek_first_booking
Real number (ℝ_≥0)

ZEROS

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2.912866564
Minimum	0
Maximum	6
Zeros	45816
Zeros (%)	10.2%
Memory size	3.4 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	3
Q3	4
95-th percentile	5
Maximum	6
Range	6
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.608861927
Coefficient of variation (CV)	0.5523294294
Kurtosis	-0.8588803838
Mean	2.912866564
Median Absolute Deviation (MAD)	1
Skewness	-0.3349162373
Sum	1307880
Variance	2.588436701
Monotocity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
4	168918	37.6%
2	63796	14.2%
1	61050	13.6%
3	59395	13.2%
0	45816	10.2%
5	34775	7.7%
6	15251	3.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	45816	10.2%
1	61050	13.6%
2	63796	14.2%
3	59395	13.2%
4	168918	37.6%

Value	Count	Frequency (%)
6	15251	3.4%
5	34775	7.7%
4	168918	37.6%
3	59395	13.2%
2	63796	14.2%

weekofyear_first_booking
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	53
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	24.19333587
Minimum	1
Maximum	53
Zeros	0
Zeros (%)	0.0%
Memory size	3.4 MiB

Quantile statistics

Minimum	1
5-th percentile	6
Q1	18
median	24
Q3	29
95-th percentile	46
Maximum	53
Range	52
Interquartile range (IQR)	11

Descriptive statistics

Standard deviation	11.07113996
Coefficient of variation (CV)	0.4576111381
Kurtosis	-0.03836883954
Mean	24.19333587
Median Absolute Deviation (MAD)	6
Skewness	0.2934235302
Sum	10862832
Variance	122.5701401
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
24	130650	29.1%
21	11157	2.5%
23	10838	2.4%
19	10401	2.3%
26	10383	2.3%
25	10188	2.3%
20	10118	2.3%
22	9411	2.1%
18	8967	2.0%
14	8213	1.8%
Other values (43)	228675	50.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	2898	0.6%
2	3542	0.8%
3	5566	1.2%
4	5133	1.1%
5	5092	1.1%

Value	Count	Frequency (%)
53	1	< 0.1%
52	1463	0.3%
51	2660	0.6%
50	3404	0.8%
49	3832	0.9%

year_first_created_account
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.4 MiB

2013	180521
2014	118264
2012	113710
2011	31932
2010	4574

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	1796004
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2010
2nd row	2011
3rd row	2010
4th row	2011
5th row	2010

Value	Count	Frequency (%)
2013	180521	40.2%
2014	118264	26.3%
2012	113710	25.3%
2011	31932	7.1%
2010	4574	1.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
2013	180521	40.2%
2014	118264	26.3%
2012	113710	25.3%
2011	31932	7.1%
2010	4574	1.0%

Most occurring characters

Value	Count	Frequency (%)
2	562711	31.3%
1	480933	26.8%
0	453575	25.3%
3	180521	10.1%
4	118264	6.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1796004	100.0%

Most frequent character per category

Value	Count	Frequency (%)
2	562711	31.3%
1	480933	26.8%
0	453575	25.3%
3	180521	10.1%
4	118264	6.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	1796004	100.0%

Most frequent character per script

Value	Count	Frequency (%)
2	562711	31.3%
1	480933	26.8%
0	453575	25.3%
3	180521	10.1%
4	118264	6.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1796004	100.0%

Most frequent character per block

Value	Count	Frequency (%)
2	562711	31.3%
1	480933	26.8%
0	453575	25.3%
3	180521	10.1%
4	118264	6.6%

month_first_created_account
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	5.84047697
Minimum	1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Memory size	3.4 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	5
Q3	8
95-th percentile	11
Maximum	12
Range	11
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	3.103921653
Coefficient of variation (CV)	0.5314500287
Kurtosis	-0.871861039
Mean	5.84047697
Median Absolute Deviation (MAD)	2
Skewness	0.2894684173
Sum	2622380
Variance	9.634329629
Monotocity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
5	60735	13.5%
6	58201	13.0%
4	49422	11.0%
3	43341	9.7%
2	36550	8.1%
1	35614	7.9%
8	33134	7.4%
9	32389	7.2%
7	27881	6.2%
10	26735	6.0%
Other values (2)	44999	10.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	35614	7.9%
2	36550	8.1%
3	43341	9.7%
4	49422	11.0%
5	60735	13.5%

Value	Count	Frequency (%)
12	18995	4.2%
11	26004	5.8%
10	26735	6.0%
9	32389	7.2%
8	33134	7.4%

day_first_created_account
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	31
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	15.65586936
Minimum	1
Maximum	31
Zeros	0
Zeros (%)	0.0%
Memory size	3.4 MiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	8
median	16
Q3	23
95-th percentile	29
Maximum	31
Range	30
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	8.553639694
Coefficient of variation (CV)	0.5463535429
Kurtosis	-1.186015732
Mean	15.65586936
Median Absolute Deviation (MAD)	7
Skewness	-0.003144012124
Sum	7029501
Variance	73.16475201
Monotocity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
24	16183	3.6%
16	15841	3.5%
23	15637	3.5%
27	15532	3.5%
13	15526	3.5%
5	15462	3.4%
22	15450	3.4%
26	15414	3.4%
6	15370	3.4%
17	15350	3.4%
Other values (21)	293236	65.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	11459	2.6%
2	13469	3.0%
3	15138	3.4%
4	14903	3.3%
5	15462	3.4%

Value	Count	Frequency (%)
31	4071	0.9%
30	11027	2.5%
29	13075	2.9%
28	15092	3.4%
27	15532	3.5%

dayofweek_first_created_account
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2.540637994
Minimum	0
Maximum	6
Zeros	71066
Zeros (%)	15.8%
Memory size	3.4 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	2
Q3	4
95-th percentile	6
Maximum	6
Range	6
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.814766668
Coefficient of variation (CV)	0.7142956503
Kurtosis	-0.9935157852
Mean	2.540637994
Median Absolute Deviation (MAD)	1
Skewness	0.2566643548
Sum	1140749
Variance	3.29337806
Monotocity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
1	81478	18.1%
2	80757	18.0%
3	73572	16.4%
0	71066	15.8%
4	63346	14.1%
5	49035	10.9%
6	29747	6.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	71066	15.8%
1	81478	18.1%
2	80757	18.0%
3	73572	16.4%
4	63346	14.1%

Value	Count	Frequency (%)
6	29747	6.6%
5	49035	10.9%
4	63346	14.1%
3	73572	16.4%
2	80757	18.0%

weekofyear_first_created_account
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	53
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	23.97627177
Minimum	1
Maximum	53
Zeros	0
Zeros (%)	0.0%
Memory size	3.4 MiB

Quantile statistics

Minimum	1
5-th percentile	4
Q1	14
median	22
Q3	34
95-th percentile	48
Maximum	53
Range	52
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	13.45547183
Coefficient of variation (CV)	0.5611995041
Kurtosis	-0.8743655565
Mean	23.97627177
Median Absolute Deviation (MAD)	10
Skewness	0.2866583393
Sum	10765370
Variance	181.049722
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
21	14397	3.2%
23	14272	3.2%
26	14174	3.2%
20	13977	3.1%
25	13930	3.1%
19	13880	3.1%
24	13615	3.0%
22	12676	2.8%
18	12408	2.8%
17	11883	2.6%
Other values (43)	313789	69.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	5446	1.2%
2	6282	1.4%
3	8285	1.8%
4	8330	1.9%
5	7811	1.7%

Value	Count	Frequency (%)
53	3	< 0.1%
52	3514	0.8%
51	4531	1.0%
50	5234	1.2%
49	6061	1.3%

gender
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.4 MiB

-unknown-	168301
FEMALE	148478
MALE	131314
OTHER	908

Length

Max length	9
Median length	6
Mean length	6.537564504
Min length	4

Characters and Unicode

Total characters	2935373
Distinct characters	15
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-unknown-
2nd row	MALE
3rd row	FEMALE
4th row	FEMALE
5th row	-unknown-

Value	Count	Frequency (%)
-unknown-	168301	37.5%
FEMALE	148478	33.1%
MALE	131314	29.2%
OTHER	908	0.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
unknown	168301	37.5%
female	148478	33.1%
male	131314	29.2%
other	908	0.2%

Most occurring characters

Value	Count	Frequency (%)
n	504903	17.2%
E	429178	14.6%
-	336602	11.5%
M	279792	9.5%
A	279792	9.5%
L	279792	9.5%
u	168301	5.7%
k	168301	5.7%
o	168301	5.7%
w	168301	5.7%
Other values (5)	152110	5.2%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	1420664	48.4%
Lowercase Letter	1178107	40.1%
Dash Punctuation	336602	11.5%

Most frequent character per category

Value	Count	Frequency (%)
E	429178	30.2%
M	279792	19.7%
A	279792	19.7%
L	279792	19.7%
F	148478	10.5%
O	908	0.1%
T	908	0.1%
H	908	0.1%
R	908	0.1%

Value	Count	Frequency (%)
n	504903	42.9%
u	168301	14.3%
k	168301	14.3%
o	168301	14.3%
w	168301	14.3%

Value	Count	Frequency (%)
-	336602	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2598771	88.5%
Common	336602	11.5%

Most frequent character per script

Value	Count	Frequency (%)
n	504903	19.4%
E	429178	16.5%
M	279792	10.8%
A	279792	10.8%
L	279792	10.8%
u	168301	6.5%
k	168301	6.5%
o	168301	6.5%
w	168301	6.5%
F	148478	5.7%
Other values (4)	3632	0.1%

Value	Count	Frequency (%)
-	336602	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2935373	100.0%

Most frequent character per block

Value	Count	Frequency (%)
n	504903	17.2%
E	429178	14.6%
-	336602	11.5%
M	279792	9.5%
A	279792	9.5%
L	279792	9.5%
u	168301	5.7%
k	168301	5.7%
o	168301	5.7%
w	168301	5.7%
Other values (5)	152110	5.2%

signup_method
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.4 MiB

basic	325738
facebook	122574
google	689

Length

Max length	8
Median length	5
Mean length	5.820512649
Min length	5

Characters and Unicode

Total characters	2613416
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	facebook
2nd row	facebook
3rd row	basic
4th row	facebook
5th row	basic

Value	Count	Frequency (%)
basic	325738	72.5%
facebook	122574	27.3%
google	689	0.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
basic	325738	72.5%
facebook	122574	27.3%
google	689	0.2%

Most occurring characters

Value	Count	Frequency (%)
a	448312	17.2%
c	448312	17.2%
b	448312	17.2%
s	325738	12.5%
i	325738	12.5%
o	246526	9.4%
e	123263	4.7%
f	122574	4.7%
k	122574	4.7%
g	1378	0.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2613416	100.0%

Most frequent character per category

Value	Count	Frequency (%)
a	448312	17.2%
c	448312	17.2%
b	448312	17.2%
s	325738	12.5%
i	325738	12.5%
o	246526	9.4%
e	123263	4.7%
f	122574	4.7%
k	122574	4.7%
g	1378	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2613416	100.0%

Most frequent character per script

Value	Count	Frequency (%)
a	448312	17.2%
c	448312	17.2%
b	448312	17.2%
s	325738	12.5%
i	325738	12.5%
o	246526	9.4%
e	123263	4.7%
f	122574	4.7%
k	122574	4.7%
g	1378	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2613416	100.0%

Most frequent character per block

Value	Count	Frequency (%)
a	448312	17.2%
c	448312	17.2%
b	448312	17.2%
s	325738	12.5%
i	325738	12.5%
o	246526	9.4%
e	123263	4.7%
f	122574	4.7%
k	122574	4.7%
g	1378	0.1%

language
Categorical

Distinct	25
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.4 MiB

en	436095
fr	2565
zh	2186
de	1868
es	1740
Other values (20)	4547

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	898002
Distinct characters	19
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	en
2nd row	en
3rd row	en
4th row	en
5th row	en

Value	Count	Frequency (%)
en	436095	97.1%
fr	2565	0.6%
zh	2186	0.5%
de	1868	0.4%
es	1740	0.4%
ko	1122	0.2%
it	878	0.2%
ru	620	0.1%
pt	387	0.1%
ja	354	0.1%
Other values (15)	1186	0.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
en	436095	97.1%
fr	2565	0.6%
zh	2186	0.5%
de	1868	0.4%
es	1740	0.4%
ko	1122	0.2%
it	878	0.2%
ru	620	0.1%
pt	387	0.1%
ja	354	0.1%
Other values (15)	1186	0.3%

Most occurring characters

Value	Count	Frequency (%)
e	439760	49.0%
n	436475	48.6%
r	3275	0.4%
f	2585	0.3%
h	2235	0.2%
z	2186	0.2%
s	2024	0.2%
d	1987	0.2%
t	1380	0.2%
o	1177	0.1%
Other values (9)	4918	0.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	898002	100.0%

Most frequent character per category

Value	Count	Frequency (%)
e	439760	49.0%
n	436475	48.6%
r	3275	0.4%
f	2585	0.3%
h	2235	0.2%
z	2186	0.2%
s	2024	0.2%
d	1987	0.2%
t	1380	0.2%
o	1177	0.1%
Other values (9)	4918	0.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	898002	100.0%

Most frequent character per script

Value	Count	Frequency (%)
e	439760	49.0%
n	436475	48.6%
r	3275	0.4%
f	2585	0.3%
h	2235	0.2%
z	2186	0.2%
s	2024	0.2%
d	1987	0.2%
t	1380	0.2%
o	1177	0.1%
Other values (9)	4918	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	898002	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	439760	49.0%
n	436475	48.6%
r	3275	0.4%
f	2585	0.3%
h	2235	0.2%
z	2186	0.2%
s	2024	0.2%
d	1987	0.2%
t	1380	0.2%
o	1177	0.1%
Other values (9)	4918	0.5%

affiliate_channel
Categorical

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.4 MiB

direct	297015
sem-brand	58469
sem-non-brand	40397
seo	18825
other	14078
Other values (3)	20217

Length

Max length	13
Median length	6
Mean length	6.821588371
Min length	3

Characters and Unicode

Total characters	3062900
Distinct characters	17
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	direct
2nd row	seo
3rd row	direct
4th row	direct
5th row	other

Value	Count	Frequency (%)
direct	297015	66.2%
sem-brand	58469	13.0%
sem-non-brand	40397	9.0%
seo	18825	4.2%
other	14078	3.1%
api	12110	2.7%
content	5736	1.3%
remarketing	2371	0.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
direct	297015	66.2%
sem-brand	58469	13.0%
sem-non-brand	40397	9.0%
seo	18825	4.2%
other	14078	3.1%
api	12110	2.7%
content	5736	1.3%
remarketing	2371	0.5%

Most occurring characters

Value	Count	Frequency (%)
e	439262	14.3%
r	414701	13.5%
d	395881	12.9%
t	324936	10.6%
i	311496	10.2%
c	302751	9.9%
n	193503	6.3%
-	139263	4.5%
s	117691	3.8%
a	113347	3.7%
Other values (7)	310069	10.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2923637	95.5%
Dash Punctuation	139263	4.5%

Most frequent character per category

Value	Count	Frequency (%)
e	439262	15.0%
r	414701	14.2%
d	395881	13.5%
t	324936	11.1%
i	311496	10.7%
c	302751	10.4%
n	193503	6.6%
s	117691	4.0%
a	113347	3.9%
m	101237	3.5%
Other values (6)	208832	7.1%

Value	Count	Frequency (%)
-	139263	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2923637	95.5%
Common	139263	4.5%

Most frequent character per script

Value	Count	Frequency (%)
e	439262	15.0%
r	414701	14.2%
d	395881	13.5%
t	324936	11.1%
i	311496	10.7%
c	302751	10.4%
n	193503	6.6%
s	117691	4.0%
a	113347	3.9%
m	101237	3.5%
Other values (6)	208832	7.1%

Value	Count	Frequency (%)
-	139263	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3062900	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	439262	14.3%
r	414701	13.5%
d	395881	12.9%
t	324936	10.6%
i	311496	10.2%
c	302751	9.9%
n	193503	6.3%
-	139263	4.5%
s	117691	3.8%
a	113347	3.7%
Other values (7)	310069	10.1%

affiliate_provider
Categorical

Distinct	18
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.4 MiB

direct	296322
google	112171
other	19559
craigslist	5332
bing	5150
Other values (13)	10467

Length

Max length	19
Median length	6
Mean length	6.031271645
Min length	3

Characters and Unicode

Total characters	2708047
Distinct characters	24
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	direct
2nd row	google
3rd row	direct
4th row	direct
5th row	other

Value	Count	Frequency (%)
direct	296322	66.0%
google	112171	25.0%
other	19559	4.4%
craigslist	5332	1.2%
bing	5150	1.1%
facebook	4767	1.1%
vast	1424	0.3%
padmapper	1064	0.2%
facebook-open-graph	1001	0.2%
yahoo	828	0.2%
Other values (8)	1383	0.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
direct	296322	66.0%
google	112171	25.0%
other	19559	4.4%
craigslist	5332	1.2%
bing	5150	1.1%
facebook	4767	1.1%
vast	1424	0.3%
padmapper	1064	0.2%
facebook-open-graph	1001	0.2%
yahoo	828	0.2%
Other values (8)	1383	0.3%

Most occurring characters

Value	Count	Frequency (%)
e	437359	16.2%
r	323609	11.9%
t	323327	11.9%
i	312687	11.5%
c	307422	11.4%
d	297449	11.0%
o	258094	9.5%
g	236624	8.7%
l	117757	4.3%
h	21388	0.8%
Other values (14)	72331	2.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2705791	99.9%
Dash Punctuation	2256	0.1%

Most frequent character per category

Value	Count	Frequency (%)
e	437359	16.2%
r	323609	12.0%
t	323327	11.9%
i	312687	11.6%
c	307422	11.4%
d	297449	11.0%
o	258094	9.5%
g	236624	8.7%
l	117757	4.4%
h	21388	0.8%
Other values (13)	70075	2.6%

Value	Count	Frequency (%)
-	2256	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2705791	99.9%
Common	2256	0.1%

Most frequent character per script

Value	Count	Frequency (%)
e	437359	16.2%
r	323609	12.0%
t	323327	11.9%
i	312687	11.6%
c	307422	11.4%
d	297449	11.0%
o	258094	9.5%
g	236624	8.7%
l	117757	4.4%
h	21388	0.8%
Other values (13)	70075	2.6%

Value	Count	Frequency (%)
-	2256	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2708047	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	437359	16.2%
r	323609	11.9%
t	323327	11.9%
i	312687	11.5%
c	307422	11.4%
d	297449	11.0%
o	258094	9.5%
g	236624	8.7%
l	117757	4.3%
h	21388	0.8%
Other values (14)	72331	2.7%

first_affiliate_tracked
Categorical

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.4 MiB

untracked	241435
linked	98697
omg	94083
tracked-other	10627
product	3885
Other values (2)	274

Length

Max length	13
Median length	9
Mean length	7.160692292
Min length	3

Characters and Unicode

Total characters	3215158
Distinct characters	19
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	untracked
2nd row	untracked
3rd row	untracked
4th row	untracked
5th row	omg

Value	Count	Frequency (%)
untracked	241435	53.8%
linked	98697	22.0%
omg	94083	21.0%
tracked-other	10627	2.4%
product	3885	0.9%
marketing	211	< 0.1%
local ops	63	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
untracked	241435	53.8%
linked	98697	22.0%
omg	94083	21.0%
tracked-other	10627	2.4%
product	3885	0.9%
marketing	211	< 0.1%
local	63	< 0.1%
ops	63	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
e	361597	11.2%
d	354644	11.0%
k	350970	10.9%
n	340343	10.6%
t	266785	8.3%
r	266785	8.3%
c	256010	8.0%
a	252336	7.8%
u	245320	7.6%
o	108721	3.4%
Other values (9)	411647	12.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3204468	99.7%
Dash Punctuation	10627	0.3%
Space Separator	63	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
e	361597	11.3%
d	354644	11.1%
k	350970	11.0%
n	340343	10.6%
t	266785	8.3%
r	266785	8.3%
c	256010	8.0%
a	252336	7.9%
u	245320	7.7%
o	108721	3.4%
Other values (7)	400957	12.5%

Value	Count	Frequency (%)
-	10627	100.0%

Value	Count	Frequency (%)
	63	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3204468	99.7%
Common	10690	0.3%

Most frequent character per script

Value	Count	Frequency (%)
e	361597	11.3%
d	354644	11.1%
k	350970	11.0%
n	340343	10.6%
t	266785	8.3%
r	266785	8.3%
c	256010	8.0%
a	252336	7.9%
u	245320	7.7%
o	108721	3.4%
Other values (7)	400957	12.5%

Value	Count	Frequency (%)
-	10627	99.4%
	63	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3215158	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	361597	11.2%
d	354644	11.0%
k	350970	10.9%
n	340343	10.6%
t	266785	8.3%
r	266785	8.3%
c	256010	8.0%
a	252336	7.8%
u	245320	7.6%
o	108721	3.4%
Other values (9)	411647	12.8%

signup_app
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.4 MiB

Web	404715
iOS	27966
Moweb	9126
Android	7194

Length

Max length	7
Median length	3
Mean length	3.104739188
Min length	3

Characters and Unicode

Total characters	1394031
Distinct characters	13
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Web
2nd row	Web
3rd row	Web
4th row	Web
5th row	Web

Value	Count	Frequency (%)
Web	404715	90.1%
iOS	27966	6.2%
Moweb	9126	2.0%
Android	7194	1.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
web	404715	90.1%
ios	27966	6.2%
moweb	9126	2.0%
android	7194	1.6%

Most occurring characters

Value	Count	Frequency (%)
e	413841	29.7%
b	413841	29.7%
W	404715	29.0%
i	35160	2.5%
O	27966	2.0%
S	27966	2.0%
o	16320	1.2%
d	14388	1.0%
M	9126	0.7%
w	9126	0.7%
Other values (3)	21582	1.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	917064	65.8%
Uppercase Letter	476967	34.2%

Most frequent character per category

Value	Count	Frequency (%)
e	413841	45.1%
b	413841	45.1%
i	35160	3.8%
o	16320	1.8%
d	14388	1.6%
w	9126	1.0%
n	7194	0.8%
r	7194	0.8%

Value	Count	Frequency (%)
W	404715	84.9%
O	27966	5.9%
S	27966	5.9%
M	9126	1.9%
A	7194	1.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1394031	100.0%

Most frequent character per script

Value	Count	Frequency (%)
e	413841	29.7%
b	413841	29.7%
W	404715	29.0%
i	35160	2.5%
O	27966	2.0%
S	27966	2.0%
o	16320	1.2%
d	14388	1.0%
M	9126	0.7%
w	9126	0.7%
Other values (3)	21582	1.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1394031	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	413841	29.7%
b	413841	29.7%
W	404715	29.0%
i	35160	2.5%
O	27966	2.0%
S	27966	2.0%
o	16320	1.2%
d	14388	1.0%
M	9126	0.7%
w	9126	0.7%
Other values (3)	21582	1.5%

first_device_type
Categorical

Distinct	9
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.4 MiB

Mac Desktop	213221
Windows Desktop	156216
iPhone	32727
iPad	30939
Other/Unknown	6574
Other values (4)	9324

Length

Max length	18
Median length	11
Mean length	11.63518344
Min length	4

Characters and Unicode

Total characters	5224209
Distinct characters	30
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Mac Desktop
2nd row	Mac Desktop
3rd row	Windows Desktop
4th row	Mac Desktop
5th row	Mac Desktop

Value	Count	Frequency (%)
Mac Desktop	213221	47.5%
Windows Desktop	156216	34.8%
iPhone	32727	7.3%
iPad	30939	6.9%
Other/Unknown	6574	1.5%
Android Phone	3820	0.9%
Desktop (Other)	2854	0.6%
Android Tablet	2553	0.6%
SmartPhone (Other)	97	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
desktop	372291	45.0%
mac	213221	25.8%
windows	156216	18.9%
iphone	32727	4.0%
ipad	30939	3.7%
other/unknown	6574	0.8%
android	6373	0.8%
phone	3820	0.5%
other	2951	0.4%
tablet	2553	0.3%

Most occurring characters

Value	Count	Frequency (%)
o	578098	11.1%
s	528507	10.1%
e	421013	8.1%
t	384466	7.4%
k	378865	7.3%
	378761	7.3%
D	372291	7.1%
p	372291	7.1%
a	246810	4.7%
i	226255	4.3%
Other values (20)	1336852	25.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3998539	76.5%
Uppercase Letter	834433	16.0%
Space Separator	378761	7.3%
Other Punctuation	6574	0.1%
Open Punctuation	2951	0.1%
Close Punctuation	2951	0.1%

Most frequent character per category

Value	Count	Frequency (%)
o	578098	14.5%
s	528507	13.2%
e	421013	10.5%
t	384466	9.6%
k	378865	9.5%
p	372291	9.3%
a	246810	6.2%
i	226255	5.7%
n	218955	5.5%
c	213221	5.3%
Other values (7)	430058	10.8%

Value	Count	Frequency (%)
D	372291	44.6%
M	213221	25.6%
W	156216	18.7%
P	67583	8.1%
O	9525	1.1%
U	6574	0.8%
A	6373	0.8%
T	2553	0.3%
S	97	< 0.1%

Value	Count	Frequency (%)
	378761	100.0%

Value	Count	Frequency (%)
/	6574	100.0%

Value	Count	Frequency (%)
(	2951	100.0%

Value	Count	Frequency (%)
)	2951	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4832972	92.5%
Common	391237	7.5%

Most frequent character per script

Value	Count	Frequency (%)
o	578098	12.0%
s	528507	10.9%
e	421013	8.7%
t	384466	8.0%
k	378865	7.8%
D	372291	7.7%
p	372291	7.7%
a	246810	5.1%
i	226255	4.7%
n	218955	4.5%
Other values (16)	1105421	22.9%

Value	Count	Frequency (%)
	378761	96.8%
/	6574	1.7%
(	2951	0.8%
)	2951	0.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5224209	100.0%

Most frequent character per block

Value	Count	Frequency (%)
o	578098	11.1%
s	528507	10.1%
e	421013	8.1%
t	384466	7.4%
k	378865	7.3%
	378761	7.3%
D	372291	7.1%
p	372291	7.1%
a	246810	4.7%
i	226255	4.3%
Other values (20)	1336852	25.6%

first_browser
Categorical

HIGH CARDINALITY

Distinct	51
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.4 MiB

Chrome	145623
Safari	105699
Firefox	78029
IE	43516
Mobile Safari	38350
Other values (46)	37784

Length

Max length	18
Median length	6
Mean length	6.672610974
Min length	2

Characters and Unicode

Total characters	2996009
Distinct characters	50
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	9 ?
Unique (%)	< 0.1%

Sample

1st row	Chrome
2nd row	Chrome
3rd row	IE
4th row	Firefox
5th row	Chrome

Value	Count	Frequency (%)
Chrome	145623	32.4%
Safari	105699	23.5%
Firefox	78029	17.4%
IE	43516	9.7%
Mobile Safari	38350	8.5%
-unknown-	32606	7.3%
Chrome Mobile	2104	0.5%
Android Browser	1293	0.3%
Opera	376	0.1%
AOL Explorer	351	0.1%
Other values (41)	1054	0.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
chrome	147727	30.1%
safari	144049	29.3%
firefox	78066	15.9%
ie	43552	8.9%
mobile	40529	8.2%
unknown	32606	6.6%
browser	1453	0.3%
android	1293	0.3%
explorer	395	0.1%
opera	382	0.1%
Other values (45)	1424	0.3%

Most occurring characters

Value	Count	Frequency (%)
r	375788	12.5%
o	302773	10.1%
a	288881	9.6%
e	269094	9.0%
i	264455	8.8%
f	222115	7.4%
m	148065	4.9%
h	147970	4.9%
C	147934	4.9%
S	144339	4.8%
Other values (40)	684595	22.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2384790	79.6%
Uppercase Letter	503516	16.8%
Dash Punctuation	65212	2.2%
Space Separator	42475	1.4%
Other Punctuation	12	< 0.1%
Decimal Number	4	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
r	375788	15.8%
o	302773	12.7%
a	288881	12.1%
e	269094	11.3%
i	264455	11.1%
f	222115	9.3%
m	148065	6.2%
h	147970	6.2%
n	99312	4.2%
x	78560	3.3%
Other values (14)	187777	7.9%

Value	Count	Frequency (%)
C	147934	29.4%
S	144339	28.7%
F	78088	15.5%
E	43949	8.7%
I	43624	8.7%
M	40773	8.1%
B	1775	0.4%
A	1725	0.3%
O	748	0.1%
L	351	0.1%
Other values (10)	210	< 0.1%

Value	Count	Frequency (%)
0	2	50.0%
2	1	25.0%
7	1	25.0%

Value	Count	Frequency (%)
-	65212	100.0%

Value	Count	Frequency (%)
	42475	100.0%

Value	Count	Frequency (%)
.	12	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2888306	96.4%
Common	107703	3.6%

Most frequent character per script

Value	Count	Frequency (%)
r	375788	13.0%
o	302773	10.5%
a	288881	10.0%
e	269094	9.3%
i	264455	9.2%
f	222115	7.7%
m	148065	5.1%
h	147970	5.1%
C	147934	5.1%
S	144339	5.0%
Other values (34)	576892	20.0%

Value	Count	Frequency (%)
-	65212	60.5%
	42475	39.4%
.	12	< 0.1%
0	2	< 0.1%
2	1	< 0.1%
7	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2996009	100.0%

Most frequent character per block

Value	Count	Frequency (%)
r	375788	12.5%
o	302773	10.1%
a	288881	9.6%
e	269094	9.0%
i	264455	8.8%
f	222115	7.4%
m	148065	4.9%
h	147970	4.9%
C	147934	4.9%
S	144339	4.8%
Other values (40)	684595	22.9%

country_destination
Categorical

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.4 MiB

NDF	119810
US	59266
FR	29601
other	29070
GB	28818
Other values (7)	182436

Length

Max length	5
Median length	2
Mean length	2.461068015
Min length	2

Characters and Unicode

Total characters	1105022
Distinct characters	20
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	NDF
2nd row	NDF
3rd row	US
4th row	other
5th row	US

Value	Count	Frequency (%)
NDF	119810	26.7%
US	59266	13.2%
FR	29601	6.6%
other	29070	6.5%
GB	28818	6.4%
IT	28790	6.4%
CA	27914	6.2%
ES	27840	6.2%
DE	26934	6.0%
NL	24974	5.6%
Other values (2)	45984	10.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
ndf	119810	26.7%
us	59266	13.2%
fr	29601	6.6%
other	29070	6.5%
gb	28818	6.4%
it	28790	6.4%
ca	27914	6.2%
es	27840	6.2%
de	26934	6.0%
nl	24974	5.6%
Other values (2)	45984	10.2%

Most occurring characters

Value	Count	Frequency (%)
F	149411	13.5%
D	146744	13.3%
N	144784	13.1%
S	87106	7.9%
U	83251	7.5%
E	54774	5.0%
A	51899	4.7%
T	50789	4.6%
R	29601	2.7%
o	29070	2.6%
Other values (10)	277593	25.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	959672	86.8%
Lowercase Letter	145350	13.2%

Most frequent character per category

Value	Count	Frequency (%)
F	149411	15.6%
D	146744	15.3%
N	144784	15.1%
S	87106	9.1%
U	83251	8.7%
E	54774	5.7%
A	51899	5.4%
T	50789	5.3%
R	29601	3.1%
G	28818	3.0%
Other values (5)	132495	13.8%

Value	Count	Frequency (%)
o	29070	20.0%
t	29070	20.0%
h	29070	20.0%
e	29070	20.0%
r	29070	20.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1105022	100.0%

Most frequent character per script

Value	Count	Frequency (%)
F	149411	13.5%
D	146744	13.3%
N	144784	13.1%
S	87106	7.9%
U	83251	7.5%
E	54774	5.0%
A	51899	4.7%
T	50789	4.6%
R	29601	2.7%
o	29070	2.6%
Other values (10)	277593	25.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1105022	100.0%

Most frequent character per block

Value	Count	Frequency (%)
F	149411	13.5%
D	146744	13.3%
N	144784	13.1%
S	87106	7.9%
U	83251	7.5%
E	54774	5.0%
A	51899	4.7%
T	50789	4.6%
R	29601	2.7%
o	29070	2.6%
Other values (10)	277593	25.1%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	age	signup_flow	days_from_first_active_until_booking	days_from_first_active_until_account_created	days_from_account_created_until_first_booking	year_first_active	month_first_active	day_first_active	dayofweek_first_active	weekodyear_first_active	year_first_booking	month_first_booking	day_first_booking	dayofweek_first_booking	weekofyear_first_booking	year_first_created_account	month_first_created_account	day_first_created_account	dayofweek_first_created_account	weekofyear_first_created_account	gender	signup_method	language	affiliate_channel	affiliate_provider	first_affiliate_tracked	signup_app	first_device_type	first_browser	country_destination
0	49	0	7393	466	6927	2009	3	19	3	12	2029	6	15	4	24	2010	6	28	0	26	-unknown-	facebook	en	direct	direct	untracked	Web	Mac Desktop	Chrome	NDF
1	38	0	7328	732	6596	2009	5	23	5	21	2029	6	15	4	24	2011	5	25	2	21	MALE	facebook	en	seo	google	untracked	Web	Mac Desktop	Chrome	NDF
2	56	3	419	476	-57	2009	6	9	1	24	2010	8	2	0	31	2010	9	28	1	39	FEMALE	basic	en	direct	direct	untracked	Web	Windows Desktop	IE	US
3	42	0	1043	765	278	2009	10	31	5	44	2012	9	8	5	36	2011	12	5	0	49	FEMALE	facebook	en	direct	direct	untracked	Web	Mac Desktop	Firefox	other
4	49	0	1	0	1	2010	1	1	4	53	2010	1	2	5	53	2010	1	1	4	53	-unknown-	basic	en	other	other	omg	Web	Mac Desktop	Chrome	US
5	46	0	3	0	3	2010	1	2	5	53	2010	1	5	1	1	2010	1	2	5	53	FEMALE	basic	en	other	craigslist	untracked	Web	Mac Desktop	Safari	US
6	47	0	10	0	10	2010	1	3	6	53	2010	1	13	2	2	2010	1	3	6	53	FEMALE	basic	en	direct	direct	omg	Web	Mac Desktop	Safari	US
7	50	0	206	0	206	2010	1	4	0	1	2010	7	29	3	30	2010	1	4	0	1	FEMALE	basic	en	other	craigslist	untracked	Web	Mac Desktop	Safari	US
8	46	0	0	0	0	2010	1	4	0	1	2010	1	4	0	1	2010	1	4	0	1	-unknown-	basic	en	other	craigslist	omg	Web	Mac Desktop	Firefox	US
9	36	0	2	0	2	2010	1	4	0	1	2010	1	6	2	1	2010	1	4	0	1	FEMALE	basic	en	other	craigslist	untracked	Web	Mac Desktop	Firefox	US

Last rows

	age	signup_flow	days_from_first_active_until_booking	days_from_account_created_until_first_booking	year_first_active	month_first_active	day_first_active	dayofweek_first_active	weekodyear_first_active	year_first_booking	month_first_booking	day_first_booking	dayofweek_first_booking	weekofyear_first_booking	year_first_created_account	month_first_created_account	day_first_created_account	dayofweek_first_created_account	weekofyear_first_created_account	gender	signup_method	language	affiliate_channel	affiliate_provider	first_affiliate_tracked	signup_app	first_device_type	first_browser	country_destination
448991	22	0	1	1	2013	9	23	0	39	2013	9	25	2	39	2013	9	23	0	39	FEMALE	basic	de	sem-brand	google	untracked	Web	Windows Desktop	Chrome	other
448992	32	0	3	3	2013	4	27	5	17	2013	5	1	2	18	2013	4	27	5	17	-unknown-	basic	en	sem-brand	google	linked	Web	Mac Desktop	Firefox	other
448993	41	0	43	43	2012	11	11	1	45	2012	12	25	3	51	2012	11	11	1	45	MALE	basic	en	direct	direct	untracked	Web	Windows Desktop	Chrome	other
448994	46	0	2	2	2013	10	25	4	43	2013	10	27	6	43	2013	10	25	4	43	MALE	basic	en	seo	facebook	untracked	Web	Mac Desktop	Safari	other
448995	66	0	18	18	2013	3	19	4	11	2013	4	6	1	14	2013	3	19	4	11	FEMALE	basic	en	direct	direct	omg	Web	Windows Desktop	Firefox	other
448996	49	2	13	13	2012	4	18	4	19	2012	5	1	3	21	2012	4	18	4	19	-unknown-	basic	en	sem-non-brand	google	omg	Web	Mac Desktop	Safari	other
448997	28	25	3	3	2013	9	3	3	38	2013	9	7	2	39	2013	9	3	3	38	FEMALE	basic	en	direct	direct	untracked	iOS	iPhone	-unknown-	other
448998	49	0	0	0	2013	10	12	5	41	2013	10	12	5	41	2013	10	12	5	41	-unknown-	basic	en	direct	direct	untracked	Web	Mac Desktop	Safari	other
448999	57	0	0	0	2012	11	26	3	47	2012	11	26	1	48	2012	11	26	3	47	FEMALE	basic	en	direct	direct	untracked	Web	Mac Desktop	Safari	other
449000	29	0	0	0	2014	3	28	4	13	2014	3	28	4	13	2014	3	28	4	13	MALE	basic	en	direct	direct	untracked	Web	Mac Desktop	Safari	other

Most frequent

	age	signup_flow	days_from_first_active_until_booking	days_from_account_created_until_first_booking	year_first_active	month_first_active	day_first_active	dayofweek_first_active	weekodyear_first_active	year_first_booking	month_first_booking	day_first_booking	dayofweek_first_booking	weekofyear_first_booking	year_first_created_account	month_first_created_account	day_first_created_account	dayofweek_first_created_account	weekofyear_first_created_account	gender	signup_method	language	affiliate_channel	affiliate_provider	first_affiliate_tracked	signup_app	first_device_type	first_browser	country_destination	count
36252	49	0	0	0	2014	5	24	5	21	2014	5	25	6	21	2014	5	24	5	21	-unknown-	basic	en	direct	direct	product	Web	Windows Desktop	Chrome	PT	59
52837	49	25	5505	5505	2014	5	20	1	21	2029	6	15	4	24	2014	5	20	1	21	-unknown-	basic	en	direct	direct	untracked	iOS	iPhone	-unknown-	NDF	56
52816	49	25	5492	5492	2014	6	2	0	23	2029	6	15	4	24	2014	6	2	0	23	-unknown-	basic	en	direct	direct	untracked	iOS	iPhone	-unknown-	NDF	50
52846	49	25	5511	5511	2014	5	14	2	20	2029	6	15	4	24	2014	5	14	2	20	-unknown-	basic	en	direct	direct	untracked	iOS	iPhone	-unknown-	NDF	48
52847	49	25	5512	5512	2014	5	13	1	20	2029	6	15	4	24	2014	5	13	1	20	-unknown-	basic	en	direct	direct	untracked	iOS	iPhone	-unknown-	NDF	48
52866	49	25	5527	5527	2014	4	28	0	18	2029	6	15	4	24	2014	4	28	0	18	-unknown-	basic	en	direct	direct	untracked	iOS	iPhone	-unknown-	NDF	43
36357	49	0	0	0	2014	5	29	3	22	2014	5	29	3	22	2014	5	29	3	22	-unknown-	basic	en	direct	direct	untracked	Web	Mac Desktop	Safari	PT	42
52815	49	25	5491	5491	2014	6	3	1	23	2029	6	15	4	24	2014	6	3	1	23	-unknown-	basic	en	direct	direct	untracked	iOS	iPhone	-unknown-	NDF	40
52872	49	25	5532	5532	2014	4	23	2	17	2029	6	15	4	24	2014	4	23	2	17	-unknown-	basic	en	direct	direct	untracked	iOS	iPhone	-unknown-	NDF	40
33786	49	0	0	0	2013	2	11	0	7	2013	2	11	0	7	2013	2	11	0	7	-unknown-	basic	en	direct	direct	untracked	Web	Windows Desktop	Chrome	PT	38

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Interactions